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The Use of Artificial Intelligence on Capital Markets
Dzuro, Daniel ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The objective of this thesis is to evaluate the possibility of creating a tool capable of predicting commodity prices. Along with other business strategies, tools and markets analyses for financial and capital markets, this tool should help make the best estimate of future developments on the observed markets. The main market, on which this work is focused, is the agricultural commodities market, namely corn and its related markets. The fundamental basis upon which the arguments in this thesis are built, is the use of artificial intelligence, particularly neural networks. The whole application is presented using a graphical user interface that allows even those with little or no understanding of this field to delve deeper into the interesting area - using modern computer systems to support trading activities.
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Assessing the Financial Indicators of the Company Livi Dubňany Using Time Series
Kozák, Petr ; Štěpánková, Vladěna (referee) ; Doubravský, Karel (advisor)
This bachelor’s thesis will deal with selected economic indicators LIVI company, spol. s.r.o. and subsequent application of statistical methods to these indicators in order to predict. The thesis consists of four main parts. Specification of the thesis, namely the development and evaluation of proposals, the creation of the calculation of economic indicators. Theoretical basis, especially financial data, regression analysis and time series analysis. Enterprise characteristics and by calculation of financial indicators of borrowed financial statements. Application of theoretical knowledge for its own calculations and draft recommendations. The output of this bachelor’s thesis will serve as a possible starting point in choosing strategic plans and compiling business objectives.
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Assessment of the Economic Situation of the Parent Company Using Statistical Methods
Zborovská, Marie ; Maňáková, Marie (referee) ; Doubravský, Karel (advisor)
The master‘s thesis examines the issue of the interconnection of market potential with financial indicators and other variables. Data from the financial statements of ABC, s. r. o. operating on the Slovak IT market are used. The dependence of market potential and other market variables was evaluated using statistical methods. Subsequently, the analysis of selected financial indicators of the company ABC, s. r. o. is statistically evaluated and the dependence with market potential is verified. Thanks to the results, the company's proposals are determined, taking into account the current situation in the world.
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Lossless Image Compression
Komjáthy, Gergely ; Polok, Lukáš (referee) ; Bařina, David (advisor)
This thesis deals with lossless image compression. In this paper are shown some colour models, which can be used for lossless image compression and formulas how to convert them to RGB and vica versa. You can learn predictors, how they work and discription of some of them. There is described the function of arithmetic coder, PPM coder and a brief description of Huffman coding.
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Assessing Economic Situation of a Company and Proposals for Its Improvement
Matys, Jan ; Veselovský, Pavel (referee) ; Doubravský, Karel (advisor)
The diploma thesis evaluates the economic situation of BPS Bicycle Industrial s. r. o. time series analysis. The theoretical part describes financial indicators, time series analyzes and regression and correlation analysis. Based on the analyzes, suggestions were made to improve the current situation of the company. BPS has proven to be financially sound. Shortcomings to improvement were identified from the analyzes. For example, share of equity and debt, use of surplus funds and turnover of receivables and payables. This ratio needs to be addressed through greater use of debt. The system of sanctions is solution for problem the turnover of receivables and the use of surplus funds by investing in shares.
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The Use of Artificial Intelligence for Decision Making
Nezbedová, Katarína ; Pekárek, Jan (referee) ; Dostál, Petr (advisor)
This bachelor thesis deals with the Tamari attractor problem and its application for forming a prediction model. The core of the work is to create a simulation program in the MATLAB development environment and to use it to create and compare several case studies of a predictive model based on different parameters. This model is graphically illustrated and supplemented by economic interpretation.
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Comparison of compression algorithms for high definition video
Dvořák, Martin ; Polák, Ladislav (referee) ; Slanina, Martin (advisor)
Bachelor's thesis deals with comparison and analysis of various instruments of the present-day compression algorithms used to compress high-definition video. Video sequences require a large amount of memory for their storage and take up bandwidth for their transmission, so it is necessary to compress video signals with regard to the quality of video after decompressing. The work focuses mainly on the differences between the algorithms and overall performance. Part of this work is a compressed video database, comparing the performance of different algorithms and the subjective quality of compressed video.
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PREDICTION OPERATIONAL ACCURACY OF THE CNC MACHINING CENTRE
Michalíček, Michal ; Blecha, Petr (referee) ; Skýpala, Milan (referee) ; Marek, Jiří (advisor)
The main research topic of this dissertation thesis deals with the influence of the working accuracy related to large CNC machines on the required workpiece properties. The state-of-the art has constantly been developed and the customer’s requirements directed to manufacturers of the machine tools are increasingly demanding. There is required a high accuracy, reliability, shortening delivery times etc. The manufacturer is expected to fulfill all the customer’s requirements. The machining accuracy is dependent, among others, on the positioning accuracy of a machine tool that represents the position of the cutting tool relative to a workpiece. The accuracy of a particular machine tool is therefore a limiting factor concerned with reaching the highest accuracy and quality of a workpiece. Acceptance test procedures are initially realized within a manufacturing shop floor and then within a customer environment. The main subject of the testing procedures is to verify. basic properties of a machine tool such as basic dimensions of a machine, strokes in all respective coordinates, machine travels and spindle speeds. A machining of a workpiece with a desired precision specified by the customer is also performed. In this thesis, a new methodology to calculate and determine errors concerned with machining on vertical lathes is proposed with the aim of predicting the machining accuracy of CNC machine tools. The objective of this work was to determine the influence of machining accuracy of a CNC machine in connection with a subsequent geometrical accuracy of a workpiece. Considered position of a tool relative to a workpiece will be affected by errors concerned with a kinematical inaccuracy, geometrical errors and errors related to machining forces. A vertical lathe SKIQ 30 produced by TOSHULIN, a.s. has been used as a testing machine on which the proposed methodology has been verified. During processing various calculations in this thesis there has been found out that the machining inaccuracy of the machine – main topic of interest – is influenced by the machining conditions such as cutting conditions, material to be machined and even the setting of working positions of the machine. For instance, a position of the cross slide is determined by a workpiece height and a position of the lathe carriage that is determined by a workpiece diameter and a travel of the slide that is also determined by a workpiece height. It can be stated then that to predict the machining accuracy of work pieces, it is important to know the behavior of the machine in its all range of working envelope. Based on the information acquired about the behavior of the machine, it can be determined an appropriate position for a workpiece setting that allows utilizing the maximum reachable accuracy with respect to the stiffness and geometrical accuracy of the machine tool. An appropriate setting of initial working position may influence the subsequent geometrical accuracy of a workpiece.
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Prediction of Protein Stability upon Mutations Using Evolution Strategy
Pavlík, David ; Martínek, Tomáš (referee) ; Bendl, Jaroslav (advisor)
This master's thesis deals with the matter of predicting the effects of aminoacid substitutions on protein stability. The main aim is to design meta-classifier that combines the results of the selected prediction tools. An evolution strategy was used to find the best weights for each of the selected tools with the aim of achieving better prediction performance compared to that achieved by using these tools separately. Five different and obtainable prediction tools were selected and their prediction outputs were weighted. Two different approaches of evolution strategy are investigated and compared: evolution strategy with the 1/5-rule and evolution strategy with the type 2 of control parameters self-adaptation. Two independent datasets of mutations were created for training and evaluating the performance of designed meta-classifier. The performed experiments and obtained results suggest that the evolution strategy could be considered as a~beneficial approach for prediction of protein stability changes. However, the special attention must be paid to careful selection of tools for integration and compilation of training and testing datasets.
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